Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Data Visualization
Job
Robert Half
Morristown, NJ (In Person)
Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
74
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
We are looking for a detail-oriented Data Visualization specialist to join a healthcare-focused organization in New Jersey. This contract-to-permanent opportunity is ideal for someone who can turn complex data into clear, actionable reporting that supports operational and strategic decisions. The role combines dashboard development, data modeling, and close collaboration with business and technical teams to deliver reliable, user-friendly analytics solutions.
Responsibilities:
- Create intuitive dashboards, reports, and visual analytics that highlight performance measures, patterns, and business insights for stakeholders
- Work closely with business partners, analysts, and data teams to define reporting needs and convert key questions into effective visual solutions
- Determine the best charting methods, layout approaches, and presentation techniques based on data structure and audience needs
- Integrate reporting and visualization platforms with enterprise data sources such as cloud environments, relational systems, APIs, and flat-file inputs
- Develop and refine data models, semantic structures, and calculated measures to support accurate and efficient reporting
- Apply strong visualization design standards with attention to usability, accessibility, formatting, color usage, and information flow
- Maintain consistent reporting practices by developing templates, style standards, and reusable visual components across the BI environment
- Improve dashboard responsiveness and scalability through query optimization, data design improvements, caching methods, and efficient loading strategies
- Partner with data engineers and modelers to identify data reliability concerns and ensure reporting is built on trusted, documented datasets
- Produce enablement materials such as documentation, user guides, training content, and repeatable templates to support self-service analytics adoption